180D · 1H
Momentum Rotation
- Backtested return
- 33.97%
- Max drawdown
- 28.69%
- Sharpe ratio
- 1.14
Quant strategies,within reach.
Discover, backtest, and compare quant strategies directly in ChatGPT or Claude, without writing code. After validation, you decide what happens next.
Use in your everyday AI
ChatGPT / Codex
Claude
ChatGPT / CodexClaudestrategy research library
Trading venues
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Channel Breakout
- Backtested return
- 56.62%
- Max drawdown
- 38.16%
- Sharpe ratio
- 1.46
180D · 1H
Momentum Rotation
- Backtested return
- 33.97%
- Max drawdown
- 28.69%
- Sharpe ratio
- 1.14
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Channel Breakout
- Backtested return
- 56.62%
- Max drawdown
- 38.16%
- Sharpe ratio
- 1.46
180D · 1H
Momentum Rotation
- Backtested return
- 33.97%
- Max drawdown
- 28.69%
- Sharpe ratio
- 1.14
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Channel Breakout
- Backtested return
- 56.62%
- Max drawdown
- 38.16%
- Sharpe ratio
- 1.46
180D · 1H
Momentum Rotation
- Backtested return
- 33.97%
- Max drawdown
- 28.69%
- Sharpe ratio
- 1.14
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Channel Breakout
- Backtested return
- 56.62%
- Max drawdown
- 38.16%
- Sharpe ratio
- 1.46
180D · 1H
Funding Carry
- Backtested return
- 33.73%
- Max drawdown
- 17.68%
- Sharpe ratio
- 1.96
180D · 1H
Time-series Trend
- Backtested return
- 30.90%
- Max drawdown
- 24.57%
- Sharpe ratio
- 1.15
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Funding Carry
- Backtested return
- 33.73%
- Max drawdown
- 17.68%
- Sharpe ratio
- 1.96
180D · 1H
Time-series Trend
- Backtested return
- 30.90%
- Max drawdown
- 24.57%
- Sharpe ratio
- 1.15
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Funding Carry
- Backtested return
- 33.73%
- Max drawdown
- 17.68%
- Sharpe ratio
- 1.96
180D · 1H
Time-series Trend
- Backtested return
- 30.90%
- Max drawdown
- 24.57%
- Sharpe ratio
- 1.15
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
180D · 1H
Funding Carry
- Backtested return
- 33.73%
- Max drawdown
- 17.68%
- Sharpe ratio
- 1.96
180D · 1H
Time-series Trend
- Backtested return
- 30.90%
- Max drawdown
- 24.57%
- Sharpe ratio
- 1.15
180D · 1H
Cross-sectional Momentum
- Backtested return
- 80.01%
- Max drawdown
- 29.56%
- Sharpe ratio
- 2.46
Your AI quant workspace.
Choose your AlgoRover.
Build on research you can inspect. Execute on infrastructure you control.
AlgoRover Research
Explore, backtest, and validate quant strategies for free. No login, account connection, or trading credentials required.
START WITH RESEARCH
Supported
- Reproducible strategy evaluation
- Discovery and configuration
- Public data on demand
- Return, drawdown, cost, robustness analysis, and reproducible reports
Not yet supported
- Local paper trading
- Demo / live trading
- Position monitoring and emergency stop
- Exchange credential access
AlgoRover Live
Free for all users. Validate, simulate, and run quant strategies with credentials kept local and every live session started only after your approval.
INSTALL AlgoRover Live
Supported
- Paper, demo, and live execution
- Search, installation, and configuration
- Local and exchange data
- Backtest analysis and local run logs
Live exclusive
- Local paper trading
- Exchange demo and live trading
- Position monitoring and emergency stop
- Local credentials and explicit confirmation
What canAlgoRover do for you?
Four modes, verified step by step. Only Live can submit real orders, and it requires local setup plus your confirmation.
View full capabilities
Strategy research
Discover, backtest, and compare strategies without a trading account
Local simulation
Simulate orders and positions locally without exchange credentials
Exchange demo
Validate in exchange test environments with a demo account and local setup
Live trading
Submit real orders with credentials kept local and confirmation before execution
Ask in plain language.
Get an evidence-backed answer.
AlgoRoverResearchRecommend ETH strategies for 10,000 USDT, with several return and risk profiles.
What drawdown can you accept, and do you prefer steadier returns or higher upside? I’ll only research and compare strategies—no trading will start.
I can accept up to 30% drawdown. Show me conservative, balanced, and higher-return options.
Here are three matches, ordered by risk and return profile:
| Strategy | Profile | Backtested return | Max drawdown | Sharpe |
|---|---|---|---|---|
| Funding Carry | Conservative | 33.73% | 17.68% | 1.96 |
| Momentum Rotation | Balanced | 33.97% | 28.69% | 1.14 |
| Cross-sectional Momentum | Higher return | 80.01% | 29.56% | 2.46 |
Ask AlgoRover about another market, budget, or risk preference
AlgoRoverLeave deployment to AlgoRover.
One prompt. Done.
No code, environment setup, or data prep. AlgoRover deploys the strategy; you confirm before it runs.
AlgoRoverResearchPrepare Momentum Rotation and run a backtest on ETH 1-hour data.
I’ll verify versions, prepare the local research environment, and install the package without connecting a trading account. Continue?
Tell AlgoRover which strategy, market, and timeframe to research next
AlgoRoverLocal research environmentPreparing automatically
- Strategy package verified
- Python 3.12 environment ready
- Dependencies installed
- Public data validated
- Backtest started
Environment saved for reproducible runs
A world of strategies,for different markets.
Explore strategy samples across trend and reversal regimes, from five-minute to daily research windows.
Explore more strategiesThese cards illustrate strategy coverage, not a performance promise. Review the full evidence, cost assumptions, and version on each strategy page.Returns are just the result.
See where they come from.
See where a strategy comes from, how it works, how it performed, and where its limits are. Verify before you run it.
Provenance
Team research, public research reconstruction, and custom strategies submitted by KOLs and listed after AlgoRover review; third-party results retain their source label and are not presented as independently verified AlgoRover performance
Logic and version
Review the formulas, parameter limits and exact strategy version used
Configuration
Venue, instrument, timeframe and parameter boundaries stated for each run; current venues include Binance, OKX, Bybit and Bitget
Test assumptions
Starting capital, fees, fixed slippage and known omissions disclosed
Historical evidence
Closed public candles, a stated test period and reproducible output
Runtime boundary
Each strategy states whether it supports research, paper trading, exchange demo or live execution
Strategies can run automatically.
You stay in control.
API keys are stored locally, and funds always remain in your exchange account. AlgoRover does not raise, receive, pool, or custody user funds; live actions require your explicit authorization.
Keys stay local
Never uploaded or sent to AI
You approve live trading
Confirm capital and risk before every run
Stay in control
Monitor in real time and stop anytime
Funds stay under your control
AlgoRover does not raise, receive, pool, or custody user funds
FAQs
The practical details users want to know about research, local credentials, and controlled execution before moving from Research to Live.
No. Research can be explored, backtested, and validated without logging in, connecting an account, or providing trading credentials.
Research covers strategy discovery, historical validation, and reproducible reports. Live adds local simulation, exchange demo trading, live execution, monitoring, and emergency stop controls.
Install AlgoRover in your supported AI workspace, describe the market and risk constraints you want to research, then inspect the evidence attached to each strategy candidate.
No. Live credentials stay on your device. AlgoRover does not upload them or send them to the AI model.
Every live session begins only after you confirm the capital and risk settings. You can monitor positions in real time and stop execution whenever needed.
AlgoRover strategies,
ready to explore and run in AI.
Build on research you can inspect. Execute on infrastructure you control.